Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a biomedical imaging technique used to visualize detailed internal structures. The Quantitative MRI group of the Vision Lab develops novel reconstruction, processing and analysis algorithms to process anatomical, functional or diffusion-weighted MRI data. These methods rely on profound knowledge of the MR imaging principles. The core competence of the group is quantitative, statistical parameter estimation, which is the basis for developing novel techniques for image reconstruction, image denoising, higher order diffusion parameter estimation (DTI, DKI, ...), and fiber tractography.

Journal publications

2013

U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., Leemans, A., and Sams, M., “Increased coherence of white matter fiber tract organization in adults with Asperger syndrome: A diffusion tensor imaging study”, Autism Research, vol. 6, no. 6, pp. 642-650, 2013.PDF icon Download paper (1.2 MB)
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., “Discrete Tomography in MRI: a Simulation Study”, Fundamenta Informaticae, vol. 125, no. 3-4, pp. 223-237, 2013.
B. T. Antonsen, Jiang, Y., Veraart, J., Qu, H., Nguyen, H. P., Sijbers, J., Von Hörsten, S., Johnson, A. G., and Leergaard, T. B., “Altered diffusion tensor imaging measurements in aged transgenic Huntington disease rats.”, Brain structure & function, vol. 218, no. 3, pp. 767-78, 2013.PDF icon Download paper (645.02 KB)
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., “Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls.”, NeuroImage, vol. 81, no. 1, pp. 335-346, 2013.PDF icon Download paper (2.89 MB)
S. Sekar, Jonckers, E., Verhoye, M., Willems, R., Veraart, J., Van Audekerke, J., Couto, J., Giugliano, M., Wuyts, K., Dedeurwaerdere, S., Sijbers, J., Mackie, C., Ver Donck, L., Steckler, T., and Van Der Linden, A., “Subchronic memantine induced concurrent functional disconnectivity and altered ultra-structural tissue integrity in the rodent brain: revealed by multimodal MRI.”, Psychopharmacology, vol. 227, no. 3, pp. 479-91, 2013.
G. Vanhoutte, Pereson, S., Delgado Y Palacios, R., Guns, P. - J., Asselbergh, B., Veraart, J., Sijbers, J., Verhoye, M., Van Broeckhoven, C., and Van Der Linden, A., “Diffusion kurtosis imaging to detect amyloidosis in an APP/PS1 mouse model for Alzheimer's disease”, Magnetic Resonance in Medicine, vol. 69, no. 4, pp. 1115–1121, 2013.
J. Veraart, Rajan, J., Peeters, R. R., Leemans, A., Sunaert, S., and Sijbers, J., “Comprehensive framework for accurate diffusion MRI parameter estimation”, Magnetic Resonance in Medicine, vol. 81, no. 4, pp. 972-984, 2013.PDF icon ISMRM 2013 poster (476.78 KB)
L. Emsell, Leemans, A., Langan, C., Van Hecke, W., Barker, G. J., McCarthy, P., Jeurissen, B., Sijbers, J., Sunaert, S., Cannon, D. M., and McDonald, C., “Limbic and callosal white matter changes in euthymic bipolar I disorder: an advanced diffusion MRI tractography study”, Biologicial Psychiatry, vol. 73, no. 2, pp. 194-201, 2013.
T. De Bondt, Van Hecke, W., Veraart, J., Leemans, A., Sijbers, J., Sunaert, S., Jacquemyn, Y., and Parizel, P. M., “Does the use of hormonal contraceptives cause microstructural changes in cerebral white matter? Preliminary results of a DTI and tractography study.”, European radiology, vol. 23, no. 1, pp. 57-64, 2013.PDF icon Download paper (411.18 KB)
B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., “Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.”, Human Brain Mapping, vol. 34, pp. 2747-66, 2013.

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